FP-Hadoop: Efficient Execution of Parallel Jobs Over Skewed Data

Summary: FP-Hadoop adds IR phase to tame data skew, partitioning values into blocks for parallel reduction across workers. Prototype results: ~10× faster reduce, ~5× total time vs Hadoop; the demo enables FP-Hadoop vs Hadoop comparisons and config views. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 11066
Venue: VLDB
Year: 2015
Pagerank: 4.1945683e-05
Overall Rank: 11,933 | 16.99%
DOI: -

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
1,334	SkewTune: Mitigating Skew in MapReduce Applications	2012	SIGMOD	0.0001250413

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